Data Engineer

Jakarta | Indonesia
  • featured-thumbSalary: Not disclosed
  • featured-thumbIndustry: B2B Services
  • featured-thumbRole Category: Information Technology
  • featured-thumbRole: Data Engineer
  • featured-thumbNationality: Indonesia
  • featured-thumbEmployment Type: Permanent

Our client:

We are looking for a savvy Data Engineer to join our growing team of technology experts. This person will be responsible for expanding and optimizing our data and pipeline architecture, as well as optimizing data flow and collection for cross functional teams.

Job Description:

Responsibilities:
  • Create and maintain optimal data pipeline architecture,
  • Assemble large, complex data sets that meet functional / non-functional business requirements.
  • Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability.
  • Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL.
  • Work with stakeholders including the Management, Product, Data, and Design teams to assist with data-related technical issues and support their data infrastructure needs.
  • Keep our data separated and secure across national boundaries through multiple data centers and AWS regions.
  • Build processes supporting data transformation, data structures, metadata, dependency and workload management.
Qualifications:
  • Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
  • Experience building and optimizing ‘big data’ data pipelines, architectures and data sets.
  • Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
  • A successful history of manipulating, processing and extracting value from large disconnected datasets.
  • Working knowledge of message queuing, stream processing, and highly scalable ‘big data’ data stores.
  • Experience supporting and working with cross-functional teams in a dynamic environment.
  • We are looking for a candidate with 2+ years of experience in a Data Engineer role, who has attained a Graduate degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field.
  • Experience with relational SQL and NoSQL databases, including Postgres and Cassandra.
  • Experience with AWS cloud services: EC2, EMR, RDS, Redshift.
  • Experience with stream-processing systems: Storm, Spark-Streaming, etc.
  • Experience with object-oriented/object function scripting languages: Python, Java, C++, Scala, etc.

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